Odd Lots

Bloomberg's Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets and economics. Join the conversation every Monday, Thursday, and Friday

  1. hace 2 días

    Grace Shao on What the World Should Know About Chinese AI

    China's AI industry has changed a lot since DeepSeek released its cheap frontier model last year, and briefly sent US tech stocks falling. After being locked out of the most advanced chips, Chinese companies are now allowed to buy some Nvidia H200s. In fact, many of the big Chinese tech companies — like Baidu — are making a push to become full-stack players, with their own chips, models, and cloud infrastructure. Today's guest is Grace Shao, an independent AI researcher and the author of the AI Proem Substack. She's a bit of an insider when it comes to China's AI industry, and when we were in Hong Kong we spoke with her about the latest in open-source models, the competition among Chinese frontier labs, DeepSeek's place in an increasingly crowded Chinese AI market, China's manufacturing edge, where bottlenecks exist right now (spoiler: it isn't data centers), if Chinese grandmas are actually using OpenClaw, and finally, of course, AI psychosis. Read More: China AI Lab’s 170% Stock Surge Cements Winner-Loser Pair Trade China Plans Mechanism to Evaluate AI Impacts on Job Market Only http://Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at  bloomberg.com/subscriptions/oddlots Subscribe to the Odd Lots Newsletter Join the conversation: discord.gg/oddlots See omnystudio.com/listener for privacy information.

    51 min
  2. hace 4 días

    How Substack Creators Are Covering This Strange Markets Era

    We closed out our New York live show on May 28 with a panel that featured three of our favorite Substackers: James van Geelen of Citrini Research, Sam Ro, founder of The TKer, and journalist Jasmine Sun. They've all been Odd Lots guests before, and we wanted to get them together to discuss how journalists and analysts are supposed to cover this incredibly strange and highly pressurized moment in markets. Not only has AI basically infected every corner of the world, the media included, but there's just so much news that it's sometimes hard to figure out what the focus should be. But James, Sam, and Jasmine have all found their own niches, and cover AI in a really unique way. This panel discussion debates how the media has covered fears over the AI bubble and the possibility of mass job loss, if people in Silicon Valley are scared about the future of society, if AI can really mimic a writer's voice and personality, and (if they can) how writers can hedge against that future. Read more: Amazon in Talks to Sell Custom AI Chips in Bid to Undercut Nvidia AI Company Dream Triples Value to $3 Billion in Funding Round Only http://Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at  bloomberg.com/subscriptions/oddlots Subscribe to the Odd Lots Newsletter Join the conversation: discord.gg/oddlots See omnystudio.com/listener for privacy information.

    31 min
  3. 13 jun

    Anjney Midha's Plan to Radically Lower the Price of Compute

    Anjney Midha wrote the first check to Anthropic. He teaches a viral course at Stanford on how AI works. And he was, until recently, a partner at a16z. In other words, he is AI-industry royalty. Midha's new project is AMP PBC, a company that believes it can radically lower the price of compute. To accomplish that, he is working on building a compute grid that turns GPUs into a standardized utility. But right now, compute is too fragmented. It's too heterogeneous. And given the way contracts are structured, he says that labs are being forced to spend money on capacity that often goes unused. In other words, small labs are forced to pay up for big, long-term contracts, even though their own demand (particularly during model training) may be very spiky. On this episode, Midha explains how the market for compute currently works and why he believes there's a software solution that could significantly improve compute utilization. He also tells us why he does not anticipate one company will emerge as the dominate player and that instead we'll have a wide range of models, each optimally used in specific applications. Read more: Amazon Says Its Data Centers Use 2.5 Billion Gallons of Water Oracle Falls Most in Six Months on Mounting Data Center Costs Only http://Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at  bloomberg.com/subscriptions/oddlots Subscribe to the Odd Lots Newsletter Join the conversation: discord.gg/oddlots See omnystudio.com/listener for privacy information.

    50 min

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Bloomberg's Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets and economics. Join the conversation every Monday, Thursday, and Friday

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